2022
DOI: 10.1103/physreve.106.054215
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Eigenfunction and eigenmode-spacing statistics in chaotic photonic crystal graphs

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Cited by 6 publications
(6 citation statements)
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“…Note that we also include the mode spacing ratio values of the GOE graph system consisting of topologically-trivial photonic crystal waveguides in the last column. [50] It is clear that a GOE graph system mode spacing ratios are at the other extreme of values, and closer to the GOE theoretical prediction values. From this mode spacing study of numerical realizations of the PTI graph system we conclude that it is more consistent with GSE statistics than any other Gaussian ensemble.…”
Section: Numerical Simulation Studiessupporting
confidence: 67%
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“…Note that we also include the mode spacing ratio values of the GOE graph system consisting of topologically-trivial photonic crystal waveguides in the last column. [50] It is clear that a GOE graph system mode spacing ratios are at the other extreme of values, and closer to the GOE theoretical prediction values. From this mode spacing study of numerical realizations of the PTI graph system we conclude that it is more consistent with GSE statistics than any other Gaussian ensemble.…”
Section: Numerical Simulation Studiessupporting
confidence: 67%
“…The ensemble-averaged consecutive mode spacing ratios of the photonic topological insulator graph (PTI-graph) system, the theoretical predictions for the GOE, GUE, and GSE systems, [66] and the mode spacing ratios of the topologically-trivial photonic crystal graph (PC-graph). [50] PTI > 0.5), and show a distinctly different shape as compared to the GOE and GUE systems, especially in terms of the peak and tail of P(s). For small spacing values (s < 0.5), we find that the graph system deviates from the GSE class prediction.…”
Section: Numerical Simulation Studiesmentioning
confidence: 92%
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“…They found that the optimal control protocol is independent of the duration of nonequilibrium driving processes. The framework of thermodynamic geometry has been widely applied to solve for the optimal control protocol in many problems, such as complex nonequilibrium transitions [72], optimization of finite-time heat engines [66], and bit initialization [73]. Considering a small system far from equilibrium in a finite-rate driving process, Schmiedl and Seifert investigated the optimal control protocol with given value of final control [24].…”
mentioning
confidence: 99%